Autonomous AI Agents
Fifteen specialist agents that continuously govern, classify, build, certify, discover and analyse your enterprise data estate—coordinated by a supervising orchestrator, without manual effort.
Fifteen Specialist Agents
Governance Agent
Governance policies and regulatory mapping
Defines and enforces governance policies, maps regulatory frameworks (GDPR, CCPA, HIPAA, SOX) to controls, and reviews access requests against policy.
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Outputs
Steward Agent
Metadata tagging and PII classification
Applies metadata tags, detects and classifies PII at column level, and maintains business glossary terms across the catalog.
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Outputs
Product Agent
Data product lifecycle management
Manages the data product lifecycle from initial draft through review to publication in the Data Product Registry.
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Outputs
Contract Agent
ODCS data contract drafting and lifecycle
Drafts Open Data Contract Standard (ODCS) contracts, lints them for correctness, and manages contract lifecycle transitions.
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Outputs
Quality Agent
Quality rules across five dimensions
Defines and runs quality rules and checks—completeness, uniqueness, freshness, validity and consistency—across datasets.
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Outputs
Certification Agent
Bronze / Silver / Gold / Platinum assessment
Assesses data products and assets against the four-tier Bronze/Silver/Gold/Platinum certification standard.
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Outputs
Semantic Agent
Metrics, KPIs and dimensions
Maintains the semantic catalog of canonical metric definitions, KPIs and dimensions used consistently across the enterprise.
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Outputs
Ontology Agent
Business concept taxonomy and relationships
Builds and maintains the taxonomy of business concepts and their relationships, underpinning the knowledge graph.
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Outputs
Context Graph Agent
Enterprise knowledge graph exploration
Explores and traverses the enterprise knowledge graph to answer questions about asset and concept relationships.
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Outputs
Discovery Agent
Catalog search, favoriting, access requests
Powers conversational search across the catalog and context graph, supports favoriting assets, and initiates access requests.
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Outputs
Lineage Agent
Upstream lineage and impact analysis
Traces upstream data lineage and analyses downstream impact before proposed changes are applied.
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Outputs
Consumption Agent
Natural-language-to-SQL analytics
Translates natural-language questions into SQL and executes them across the data estate, enabling conversational analytics for any persona.
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Outputs
Knowledge Agent
Runbooks and documentation search
Attaches runbooks and documentation to assets and data products, and makes them searchable alongside the catalog.
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Outputs
Requirement Analysis Agent
BRD to data products and contracts
Takes a business requirements document or stated requirement and drives its translation into data products and contracts.
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Outputs
Admin Agent
Connectors, tenants, users, platform health
Handles platform administration—connector configuration, tenant and user management, and platform health monitoring.
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Agents That Work Together
A supervising orchestrator routes intent, plans multi-step workflows and coordinates all fifteen specialist agents against a shared context layer, lineage graph and policy engine. A discovery event can trigger stewardship; a requirement can drive contract drafting; certification depends on quality results. The result is a continuously operating, self-reinforcing data operations loop.
Safe, Auditable, Controllable
Policy Boundaries
Every agent operates within policy-defined boundaries. No agent can access data it is not authorised to see.
Audit Logs
Every agent action—discovery, classification, governance check—produces an immutable, queryable audit log.
Human Override
Stewards can review, override or pause any agent action. Humans remain in control; agents handle the scale.
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